Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Automated skimming in response to questions for nonvisual readers
SLPAT '10 Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing for Assistive Technologies
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When scanning through a text document for the answer to a question, visual readers are able to quickly locate text within the document related to the answer while simultaneously getting a general sense of the document's content. For nonvisual readers, however, this poses a challenge, especially when the relevant text is spread out or worded in a way that can't be searched for directly. Our goal is to make the scanning experience quicker for nonvisual readers by giving them an experience similar to that of visual readers. To do this we first determined what visual scanners focused on by using an eye-tracker while they scanned for answers to complex questions. Resulting data revealed that text with loose semantic connections to the question are important. This paper reports on our efforts to develop a method that automatically replicates the connections made by visual scanners. Ultimately, our goal is a system that replicates the visual scanning experience, allowing nonvisual readers to quickly glean information in a manner similar to how visual readers glean information when scanning. This work stems from work with students who are nonvisual readers and is aimed at making their school experience more equitable with students who scan visually.